{"title":"Who adopts and deploys advanced home energy technologies?","authors":"Grant D. Jacobsen","doi":"10.1016/j.eneco.2025.108333","DOIUrl":null,"url":null,"abstract":"<div><div>Technological innovation, including advances related to clean energy and artificial intelligence, have increased the potential role for the use of smart devices in residences, such as smart thermostats or smart speakers used to control connected equipment. While these devices hold promise for aiding a transition to a lower-carbon energy system – in part by enabling more advanced demand-side management energy programs such as “virtual power plants” – the extent to which they will do so depends on their rates of adoption and deployment by households. Using newly available data, this paper investigates the factors associated with the rates of adoption and deployment of smart devices. Key factors <em>positively</em> associated with adoption and deployment include graduating from college, income, broadband internet, and home square footage. Key factors <em>negatively</em> associated with adoption and deployment include female gender, renting, senior age and middle age (relative to young adult). These results may be helpful to utility managers or policymakers seeking to increase the diffusion of the next wave of residential energy technologies through marketing and outreach campaigns or other measures.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"145 ","pages":"Article 108333"},"PeriodicalIF":13.6000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988325001574","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Technological innovation, including advances related to clean energy and artificial intelligence, have increased the potential role for the use of smart devices in residences, such as smart thermostats or smart speakers used to control connected equipment. While these devices hold promise for aiding a transition to a lower-carbon energy system – in part by enabling more advanced demand-side management energy programs such as “virtual power plants” – the extent to which they will do so depends on their rates of adoption and deployment by households. Using newly available data, this paper investigates the factors associated with the rates of adoption and deployment of smart devices. Key factors positively associated with adoption and deployment include graduating from college, income, broadband internet, and home square footage. Key factors negatively associated with adoption and deployment include female gender, renting, senior age and middle age (relative to young adult). These results may be helpful to utility managers or policymakers seeking to increase the diffusion of the next wave of residential energy technologies through marketing and outreach campaigns or other measures.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.